Machine Learning Engineer - San Diego, CA, United States - BOOZ, ALLEN & HAMILTON, INC.

Description

Machine Learning Engineer, Mid

Do you enjoy creating innovative solutions to complex challenges while working within a community of dynamic technology professionals? As an experienced data professional, you know that machine learning is critical to understanding and processing massive datasets.

We need your technical expertise to support federal healthcare.
As a machine learning engineer, you'll train, test, deploy, and maintain models that learn from data.

Your ability to conduct statistical analyses on business processes using machine learning (ML) techniques is key and makes you an integral part of delivering a customer-focused solution.

You'll be part of a large community of machine learning engineers across the firm and collaborate with data engineers, data scientists, solutions architects, and product owners to deliver world class solutions to deliver mentorship, training, and solutions to real world problems, process data and information at a massive scale, and perform A/B testing tasks on statistical models, ML algorithms, and systems .

2+ years of experience with data science, data analytics, machine learning engineering, or postdoctoral research for machine learning
~ Experience with natural language processing and language models
~ Experience with deploying machine learning models into a production environment
~ Experience with programming in Python, Java, or C++
~ Ability to obtain a security clearance
~ Bachelor's degree

Experience with developing software architectures with containerization tools, including Docker and Kubernetes
Experience with machine learning, including linear, reinforcement learning, tree based, or deep learning-based methods and regularization approaches
Experience with databases, including SQL
Experience with software development, including API development or database management, and model deployment and usage with Javascript frameworks, including React, Angular, or
Ability to work in a Linux environment with Bash Scripting
Secret clearance

With professional and leadership development opportunities like upskilling programs , tuition reimbursement, mentoring, and firm-sponsored networking, you can chart a unique and fulfilling career path on your own terms.

With an array of business resource groups and other opportunities for connection, you'll build your community in no time.

Our comprehensive benefits package includes wellness programs with HSA contributions, paid holidays, paid parental leave, a generous 401(k) match, and more.

With these benefits, plus the option for flexible schedules and remote and hybrid locations, we'll support you as you pursue a balanced, fulfilling life-at work and at home.

Our offerings include health, life, disability, financial, and retirement benefits, as well as paid leave, professional development, tuition assistance, work-life programs, and dependent care.

Our recognition awards program acknowledges employees for exceptional performance and superior demonstration of our values.

Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible to participate in Booz Allen's benefit programs.

Salary at Booz Allen is determined by various factors, including but not limited to location, the individual's particular combination of education, knowledge, skills, competencies, and experience, as well as contract-specific affordability and organizational requirements.

The projected compensation range for this position is $75,600.Our people-first culture prioritizes the benefits of flexibility and collaboration, whether that happens in person or remotely.

If this position is listed as remote or hybrid, you'll periodically work from a Booz Allen or client site facility.

We're an equal employment opportunity/affirmative action employer that empowers our people to fearlessly drive change - no matter their race, color, ethnicity, religion, sex (including pregnancy, childbirth, lactation, or related medical conditions), national origin, ancestry, age, marital status, sexual orientation, gender identity and expression, disability, veteran status, military or uniformed service member status, genetic information, or any other status protected by applicable federal, state, local, or international law.

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